National Cancer InstituteNational Cancer Institute
The Early Detection 
Research Network 
U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES
National Institutes of Health
JANUARY 2008
Division of Cancer Prevention
Investing in Translational Research on 
Biomarkers of Early Cancer and Cancer Risk
2 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
Contents 
5 Foreword 
7 Introduction
8 Executive Summary 
Part I: Progress and Disease-Specific Developments
14 Chapter 1 Overview
26 Chapter 2 Breast and Gynecologic Cancers 
34 Chapter 3 Colorectal and Other Gastrointestinal Cancers
47 Chapter 4 Lung and Upper Aerodigestive Cancers
56 Chapter 5 Prostate and Other Urologic Cancers
Part II: Process and Collaboration 
66 Chapter 6 Validation Stages and Processes
77 Chapter 7 Enabling Technologies
Part III: Investing in Biomarker Research
91 Chapter 8 Business Model
99 Chapter 9 Evaluating Biomarker Progress in Translational Research 
104 Chapter 10 Investing in Biomarker Research for Early Detection
 Appendix
115 I. Key Publications by Investigators
123 II. Publications Co-Authored by NCI Program Staff
124 Glossary
 3
4 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
Foreword
 January 2008
In 2000, NCI’s Division of Cancer Prevention created an investigator-
driven network designed to conduct translational research that identified 
markers both for the early detection of cancer and of cancer risk. That 
program, the Early Detection Research Network (EDRN), focuses on the 
goal of creating validated biomarkers ready for large-scale clinical test-
ing and eventual application. Without a doubt, real progress has been 
made—and is being made—by this consortium of more than 300 inves-
tigators and 40 private sector and academic institutions. These scientists 
represent divergent disciplines, including genomics, proteomics, metabo-
lomics, bioinformatics and public health.
EDRN is at the forefront of technology-driven research on the use of 
biomarkers for the early detection of cancer. By identifying and validat-
ing biomarkers, such as novel proteins or changes in gene expression, it 
is possible to measure an individual’s disease risk, progression of disease, 
or response to therapy. Ultimately, EDRN research will aid in prevention 
and in early therapeutic intervention, based on early detection of disease.
Researchers with EDRN have been instrumental in identifying and 
validating markers for many major cancers, such as prostate (protein 
profiling of BPH, HPIN and IGFb3/br), colon (K-ras mutations in stool 
and urine) and breast (alpha catenin genes). They have also joined forces 
with clinical trial communities to accelerate biomarker validation. To 
take just one example, EDRN investigators work with investigators in 
the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening 
Trial and in the Specialized Programs of Research Excellence (SPORE) 
program, to test a panel of biomarkers for ovarian cancer in sera collected 
in the PLCO trial.
Early detection can dramatically improve outcomes. Finding breast and 
colon cancers when they remain localized results in 5-year survival rates 
of 90 percent or higher. EDRN is helping make that an achievable goal 
for more and more cancers.
 John Niederhuber, M.D.
 Director
 National Cancer Institute
 National Institutes of Health
Foreword 5
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NCI’s Division of Cancer Prevention set out 7 years ago to create a 
strong, investigator-driven network to conduct translational research to 
identify tests for early cancer and cancer risk. In 2000, the Early Detec-
tion Research Network (EDRN) became a fully funded group of 28 
grantees focused on the overarching goal of creating validated biomarkers 
ready for large-scale clinical testing. 
Today, EDRN is a nationwide, interdisciplinary group of established 
partnerships among scores of institutions and hundreds of individuals 
working to advance the science for public benefit.
These research collaborations take place within an environment of team-
work across different disciplines and laboratories focused on achieving 
common goals, such as: 
• Developing and testing promising biomarkers and technologies to ob-
tain preliminary information to guide further testing; 
• Evaluating promising, analytically proven biomarkers and technologies, 
such as measures of accuracy, sensitivity, specificity and, when possible, 
as potential predictors of outcomes or surrogate endpoints for clinical 
trials; 
• Analyzing biomarkers and their expression patterns to serve as back-
ground for large, definitive validation studies; 
• Collaborating with academic and industrial leaders to develop high-
throughput, sensitive assay methods; 
• Conducting early phases of clinical and epidemiological biomarker 
studies; and
• Encouraging collaboration and dissemination of information to ensure 
progress and avoid fragmentation of effort. 
EDRN is a leader in defining and using criteria for the validation of 
biomarkers—an essential condition for scientific progress. While myriad 
proteins and genes have been linked with a variety of cancers, acceptable 
biomarkers must be: reliable and repeatable in testing; highly sensitive 
and specific; quantitative; readily obtained by non-invasive methods; part 
of the causal pathway for disease; capable of being modulated by the che-
mopreventive agent; and have high predictive value for clinical disease. 
EDRN is helping translate the discovery and validation of biomarkers to 
clinical use and we are delighted to be working toward that end. 
Peter Greenwald, M.D., Dr.P.H., Director 
Division of Cancer Prevention, National Cancer Institute 
Assistant Surgeon General, U.S. Public Health Service 
Introduction
Introduction 7
The National Cancer Institute (NCI) is 
bringing visionary people together through 
research collaborations that inspire innovative 
approaches to early detection, prevention and 
treatment of cancer. 
NCI launched the Early Detection Research 
Network (EDRN) ( in 
2000 to identify biomarkers, substances found 
in blood, body fluids or tissue that show the 
risk or presence of disease before cancer has 
had the opportunity to progress in the body. 
EDRN is the only program focused directly 
on the discovery and validation of biomarkers 
for noninvasive, early detection of cancer. 
The Network unites clinical and basic 
scientists so that discovery is clinically driven, 
yet balanced with a systematic approach 
to validation.
Recent reductions in cancer mortality are 
due in part to risk reduction behaviors like 
smoking cessation and more strongly to early 
detection of cancer coupled with appropriate 
therapy. Yet, there are no validated molecular 
biomarker tests for the early detection of any 
cancer (see Table I). Among the list of Food 
and Drug Administration (FDA)-approved 
biomarkers, none have been approved for 
cancer early detection and screening. EDRN 
is studying more than 120 biomarkers for the 
major organ system groups (see Table 2), some 
of which are in Phase 3 testing, a retrospective 
longitudinal approach that determines how 
well biomarkers detect preclinical disease 
by testing them against tissues collected 
longitudinally from research cohorts. 
Investigators from more than 40 research 
institutions are part of the Network. All 
share a common belief that the integration 
of discovery, evaluation and clinical validation 
phases of medical research are more likely 
to succeed when they are carried out in a 
concerted and systematic fashion. A common 
problem is that after researchers discover 
biomarkers, the biomarkers are not produced 
for clinical use because they have not been 
validated in other laboratories. To address this, 
EDRN drew up and implemented standards 
to accelerate the progress for discovering 
and validating reproducible biomarkers that 
ultimately can be moved on to clinical use. 
Through cooperative agreement awards, NCI 
is closely involved in the EDRN projects 
to ensure the studies gather necessary data. 
EDRN welcomes other interested researchers 
to join the Network through smaller scale 
Table 1. Early Detection Tests 
for Cancer, Selected Organ Sites 
Organ Site Test
Bladder None
Breast Mammogram
Cervix Pap smear
Colorectal Fecal occult blood test, 
sigmoidoscopy, colonoscopy, 
double contrast barium 
enema, digital rectal exam
Esophageal None
Kidney None
Liver (primary) None, but two molecular 
tests are approved for risk 
assessment
Lung Imaging
Ovary None proven to decrease 
mortality
Pancreatic None
Prostate None proven to decrease 
mortality 
Executive Summary
8 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
projects. The Network is challenged to 
motivate scientists to offer their candidate 
biomarkers for testing and to educate 
scientists about the importance of rigorous 
prevalidation studies that prepare the way for 
successful biomarker validation.
This report, the fourth in a series, summarizes 
the major developments in the Network since 
its inception through a discussion of concepts 
and concrete examples, beginning with a 
historical and structural overview. It also 
shows how progress has occurred in the areas 
of:
• Disease-specic advancements across the 
major organ sites;
• Process and collaboration; and
• An adaptive business model approach that 
encourages public-private partnerships and 
team science. 
Disease-Specific Advancements
EDRN has active ongoing work in cancer 
sites that constitute nearly 1 million cancer 
diagnoses each year and more than 350,000 
deaths.
Biomarkers in development by EDRN 
address common malignancies as well as 
mesothelioma and hepatocellular cancer. 
The latter are of major worldwide importance 
and are increasing in incidence in the United 
States. EDRN Collaborative Groups, 
focused on breast and gynecologic cancers, 
gastrointestinal and other associated cancers, 
lung and upper aerodigestive cancers and 
prostate and urologic cancers, each have 
biomarkers in prevalidation and validation 
phases in which the accuracy of experimental 
results is confirmed. 
There are over 120 biomarkers in 
development, alone and in combinations, 
across the EDRN phases: 27 in Phase 2 
development (validating the capacity of 
biomarkers to distinguish between people with 
cancer and those without), of which, more 
than 15 are progressing toward Phase 3; and 
five in Phase 3 development (determining the 
capacity to detect preclinical disease).
Highlights of EDRN achievements include:
• Standard reference specimens and reagents, 
primarily plasma and serum (cases and 
matched controls) were developed for 
detection and evaluation of prostate cancer 
biomarkers; urine reference sets are being 
developed for bladder, prostate, colon and 
lung cancers.
• Recurrent non-random chromosomal 
translocations were discovered in prostate 
cancer along with some other potential 
markers, such as %proPSA, PCA3, 
AMACR and a panel of autoantibodies; 
panels of methylated DNA sequences and 
other biomarkers have been identified 
as promising biomarkers for bladder 
and prostate cancers; and mutations and 
deletions in mitochondrial DNA were 
detected in prostate and other cancers.
• Molecular tests for ovarian cancer are 
progressing towards validation; one of 
the tests included a panel of markers 
consisting of MIF-1, prolactin, osteopontin, 
IGF-2, leptin, HE-4 and others. Studies are 
underway targeting pre-cancers of the cervix 
to improve outcomes and reduce treatments; 
and novel strategies against breast cancer, 
including early detection using blood 
markers, will be tested in the next year. 
Table 2. Early Detection Biomarkers in 
Study for Selected Cancer Sites 2003 
to 2007 (partial list; see organ specific 
chapters for details) 
Site Number of Biomarkers *
Bladder 3
Breast 7
Cervical /Endometrial 2
Colorectal 21
Esophagus 7
Hepatocellular 9
Kidney 1
Lung 12
Mesothelium 2
Ovarian 5
Pancreatic 16
Prostate 15
* Panels including more than one biomarker were counted 
as one.
Executive Summary 9
• For each digestive cancer organ site (colon, 
rectum, esophagus, liver and pancreas), new 
biomarkers have been discovered and, in 
prevalidation studies, have been shown to be 
superior to current standards of care. Two 
of these biomarkers for colorectal cancer, 
CCSA-2 and CCSA-3 and two biomarkers 
for liver cancer, DCP and AFP-L3, are now 
in clinical validation. 
• Work is advancing to identify and validate 
non-invasive biomarkers in blood or sputum 
for the early detection of lung cancer, which 
could be combined with CT scanning of 
the lung or other imaging methods. In two 
preliminary blinded experiments, a panel 
of only two marker genes readily identified 
lung cancers at specificity and sensitivity 
values exceeding those of conventional 
cytology by two to three times. 
• Investigators supported through various 
funding mechanisms (e.g., EDRN, R01, 
P01 and Specialized Programs of Research 
Excellence (SPOREs) ) have formed a 
Lung Cancer Biomarkers Working Group. 
This group is developing and validating 
proteomics-based biomarkers for early 
detection of lung cancer and collaborating 
with other researchers by providing 
statistically powered specimen sets for rapid 
evaluation of emerging technologies and 
biomarkers.
Some biomarker discoveries are performed 
in tandem with prevalidation studies using 
high-quality specimens made available 
to investigators by other NIH supported 
programs, such as the Women’s Health 
Initiative (WHI) for a colon cancer project; 
the Carotene and Retinol Efficacy Trial 
(CARET) for a lung cancer and mesothelioma 
project; and the Prostate, Lung, Colorectal 
and Ovarian Cancer Screening Trial (PLCO) 
for an ovarian cancer project. Leads on other 
biomarkers from model systems are being 
tested in humans.
Process and Collaboration
Validation of biomarkers is a formidable task, 
which needs a consistent approach. EDRN- 
supported validation studies are, therefore, 
remarkable achievements. Few biomarkers 
and developmental laboratories ever achieve 
the requirements necessary to conduct such 
studies. But EDRN brings to the table 
both the scientific paradigm and the ability 
to effectively organize the resources. Five 
case-control studies described in this report 
illustrate this capacity. EDRN also adopted 
criteria to prioritize analytical and clinical 
validation studies. 
Quality assurance is integral to EDRN. The 
Network established five Biomarker Reference 
Laboratories (BRLs) to support clinical and 
analytical validation efforts: the University of 
California, Los Angeles (UCLA), University 
of Alabama, Birmingham (UAB), Johns 
Hopkins University (JHU), the University of 
Maryland (UM) and the National Institute 
of Standards and Technology (NIST). The 
BRLs are important resources for technology 
development, standardization of biomarkers 
and the refinement of existing methods. Some 
BRL projects include: 
• Validation of bleomycin-induced 
chromosomal breakage in lymphocytes as 
markers of lung cancer susceptibility; 
• Validation of mitochondrial DNA mutations 
as an early detection marker; 
• Development of high-density breast and 
prostate tissue microarrays; 
• Validation of saliva-based assay for oral 
cancer, refinement of ELISA-based assay for 
ovarian biomarker panel; 
• Validation of standard operating procedures, 
MSA assays, methylation assays; and
• Validation of several prostate-specic 
biomarkers, assays and proteomics-based 
discoveries.
EDRN develops and optimizes technologies 
for biomarker research. Innovative methods 
to identify gene alterations, gains and 
mutations and mitochondrial DNA mutations 
have been used. Proteomics, auto-antibodies, 
microsatellite analyses, immunohistochemical 
markers, polymerase chain amplification of 
RNA and glycobiology are also employed. 
Advances were made in deploying and 
expanding an informatics framework to 
support information management. Accessing 
the information includes specific annotations 
of markers, the capture of scientific data, 
management of the study-specific information 
10 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
and a scientific portal. A major new release 
integrated with a scientific portal was 
deployed in 2007. 
One of the signature accomplishments of 
the informatics team is the development 
of common data elements (CDEs) for use 
among the EDRN Clinical Epidemiology and 
Validation Centers (CEVCs). CDEs capture 
and share data among centers. State-of-the-
art methods that previously did not exist 
have been established for data elements, e.g. 
acquisition and storage of biologicals, study 
design, outcome assessment and biomarker 
validation.
Each EDRN institution within the knowledge 
system uses CDEs to describe critical cancer 
data objects and to map their local data 
models to the Network’s knowledge system, 
in turn providing Network-wide semantic 
consistency. At the same time, the EDRN 
Network Exchange system (ERNE) unified 
search and retrieval of biospecimen data 
from all institutions regardless of their 
location, how it is stored, or the differences 
in the underlying data models. This enables 
a scientist, for example, to locate tissue 
specimens for breast cancer by searching data 
catalogs at participating EDRN institutions 
across the country. 
EDRN-supported statistical tools and 
informatics infrastructure make the sharing 
of samples, the developing of collaborations 
and the exchanging of information with the 
extramural community at-large, both feasible 
and productive. The EDRN informatics 
efforts were cited as a model in reports by 
the National Academy of Sciences Institute 
of Medicine, Developing Biomarker-Based 
Tools for Cancer Screening, Diagnosis and 
Therapy: The State of the Science, Evaluation, 
Implementation and Economics (Margie 
Patlak and Sharyl Nass, 2006) and Cancer 
Biomarkers: The Promises and Challenges of 
Improving Detection and Treatment, (Sharyl J. 
Nass and Harold L. Moses, Editors, 2007).
EDRN developed a secure, web-based 
system, the Validation Studies Information 
Management System (VSIMS), to manage 
the necessary components for capturing and 
preserving the metadata and data objects that 
integrate into the overall knowledge system 
architecture. These components include 
protocol management tools, communication 
tools, a data-collection and -processing system 
and a specimen-tracking system.
EDRN is establishing a science data 
warehouse, which will act as a distributed 
metadata-driven system to capture, track, 
process and retrieve scientific data from 
biomarker validation studies and to share 
across institutions. The EDRN Knowledge 
System promises to dramatically improve the 
capability for scientific research by enabling 
real-time access to a variety of information 
across research centers.
Adaptive Business Model
The core of EDRN’s achievements is 
the Vertical Adaptive Business Model. 
This structure encourages public-private 
partnerships and team science. EDRN 
promotes a vertical approach for conducting 
biomarker research, whereby biomarkers 
are developed in BDLs, refined and cross 
validated by Biomarker Reference Laboratories 
(BRLs) and validated in collaboration with 
CEVCs, all within one organization. The 
focus is on coordinating multiple resources 
with a goal of minimizing the barriers to 
the rapid and efficient “hand-off” between 
entities.
Five federal agencies—NIST, the Centers for 
Disease Control and Prevention, FDA, the 
Pacific Northwest National Laboratories of 
the Department of Energy and the National 
Aeronautics and Space Administration (NASA) 
Jet Propulsion Laboratory (JPL)—participate 
with EDRN through interagency agreements. 
Other intergovernmental collaborative 
partnerships include the National Heart, 
Lung and Blood Institute (NHLBI) on the 
use of the Women’s Health Initiative (WHI) 
biorepository for discovery and validation 
of biomarkers; the collaboration with the 
Consortium of Functional Glycomics, funded 
by National Institutes of Health’s (NIH) 
National Institute of General Medical Sciences 
(NIGMS) and four carbohydrate research 
centers funded by NIH’s National Center 
for Research Resources (NCRR).
Executive Summary 1110 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
EDRN unites partners with different 
research foci, resulting in productive and 
stable alliances to expedite discovery and 
development of biomarkers and technologies. 
For instance, JPL, known for rocket 
launching, joined forces with EDRN to bring 
disparate groups of institutions together 
by creating virtual resources of specimens, 
biomarkers, tools and technologies, 
through innovative uses of their informatics 
infrastructures already validated and proven 
for the management of planetary data. 
Another unlikely alliance is NIST and EDRN. 
NIST is traditionally known for research 
on physical sciences and standards, not for 
diagnostics. By joining EDRN, NIST has 
taken an interest in developing standards for 
genomics- and proteomics-based diagnostics.
EDRN fosters collaborations with industry. 
During its inception, EDRN worked with 
NCI’s Technology Transfer Center to develop 
novel methods for sharing confidential 
information with industry and EDRN’s 
Technology Resources Sharing Committee 
developed guidelines for working with 
industry. EDRN also conducted a workshop 
on public-private partnerships. Collaborations 
with the Human Proteome Organization on 
proteomics and glycomics, the Lustgarten 
Foundation on pancreatic cancer biomarkers 
and the Canary Foundation on ovarian cancer 
markers are yielding results.
EDRN enables alliances of investigators 
with differing expertise, disciplines and 
organizational cultures to function as 
cohesive, integrated groups for the purpose 
of developing biomarker-based diagnostics. 
This Network of discovery, validation and 
epidemiologic centers that place collective 
goals above individual goals is without 
peer among academic institutions. Unlike 
previous approaches in the field, EDRN 
rewards collaboration and individual skills 
and thereby is likely to succeed in meeting the 
new research realities involved in translational 
research.
EDRN builds standards in study designs for 
the systematic evaluation of protein profiling 
for cancer. The Network developed standards 
of organization and collection for tissue 
procurement for biomarker studies. Aspects 
of the standards are recognized as best 
practices in the field for sharing and 
dissemination within an informatics network 
exchange system (National Biospecimen 
Network Blueprint from the Constella Group 
and the Case Studies of Human Tissues 
Repositories: “Best Practices” for Biospecimen 
Resource for Genomic and Proteomic Era 
(Eiseman E., et.al., RAND Corporation)).
The number of peer-reviewed publications by 
EDRN-funded investigators is an important 
metric to illustrate progress toward the 
Network’s goals. More than 460 manuscripts 
have been published by EDRN investigators 
and program staff in the past 6 years. Seminal 
articles on proteomics, fusion genes in the 
prostate and methylation have received wide 
citations. 
When EDRN was created, NCI embarked 
on a new organizational structure unique 
to academic science. EDRN created a 
rigorous peer-review system that ensures 
that preliminary data—analytical, clinical 
and quantitative—are of excellent quality. 
Additionally, the Associate Membership 
Program is highly productive in offering new 
technologies and products.
Past, Present, Future
The progression of biomarkers from the 
discovery phase to the validation phase has 
been slow to date, reflecting initial challenges 
with cultural and infrastructural issues. 
Without EDRN, research into new 
biomarkers of early cancer detection and 
risk would have remained on the periphery 
of research with a strong, but fragmented 
laboratory presence and little translational 
interest among the academic scientific 
community. But with the Network, a new 
translational paradigm is defining the 
organization, approaches and standards by 
which biomarkers are developed and assessed. 
The Network’s publications, meetings, 
funding opportunities and infrastructure 
have fashioned a new environment for cancer 
prevention research. 
12 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
Title of chapter goes here 13
Part One
Progress and Disease- 
Specific Development 
12 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
I
N ITS FIRST 7 YEARS, the Early 
Detection Research Network (EDRN) 
evolved from ground-breaking concept 
to operational success. With a primary 
mission to discover and scrupulously validate 
biological markers that signal the earliest 
stages of cancer (such as pre-malignant lesions, 
genetic variations and risk indicators) EDRN 
combines collaborative and multidisciplinary, 
investigator-initiated projects with a strong 
administrative and data infrastructure.
In making cancer biomarkers of early 
detection and screening ready for large-scale 
clinical testing, the Network requires and 
supports collaboration and information 
sharing across institutions. Key milestones 
from inception to the present are described in 
this chapter.
1997 through 2000: 
Inception and Inauguration
In 1997, a 20-member Cancer Prevention 
Program Review Group, seeking a means to 
revitalize the National Cancer Prevention and 
Control Program, recommended the concept 
of EDRN to NCI’s Board of Scientific 
Advisors (BSA) and the National Cancer 
Advisory Board (NCAB). (See EDRN Initial 
Report, Translational Research to Identify Early 
Cancer and Cancer Risk, October 2000, http://
edrn.nci.nih.gov/docs.)
The concept, developed by the Early 
Detection Implementation Group, was 
approved by the BSA on November 13, 
1998. A Network was envisioned that would 
discover and coordinate the evaluation of 
biomarkers and reagents for risk assessment 
Overview
“T
he EDRN was designed with a very specific and tangible goal in mind. This 
has not changed since its inception. For this reason, the network is efficient and 
functions true to its origin. Further, since it is fully functional, there is little effort 
wasted on operational issues. The operations manual was adopted early and 
remains a viable document. Under any context, these are remarkable properties, 
that it was created by a governmental agency is nearly unimaginable. With 
academic scientists and clinicians working under cooperative agreements, not 
contracts, to specifically further the goals of the network, not just their personal 
goals, the arrangement becomes even more unlikely.” 
 Jeff Marks, Ph.D. 
 Principal Investigator, 
 EDRN Biomarker Development Laboratory
 Duke University Medical Center
14 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
CHAPTER ONE
Title of chapter goes here 1514 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
Recent Milestones* 
March 2003 EDRN Approved for Second 5-Year Cycle
July 2003 Validation Study Launched: SELDI Profiling for Prostate Cancer
August 2003 Gordon Conference on New Frontiers in Cancer Detection and Diagnosis, Andover, NH
September 2003 Launch of the First Clinical Validation Study for Microsatellite Instability as a Biomarker for Bladder Cancer
March 2004 Training Workshop on the Analysis of Proteomic Spectral Data including SELDI/MALDI-TOF-MS Applications; 
Review of SELDI Phase 1, Seattle, WA
June 2004 Third Annual Scientific Workshop, Bethesda, MD
September 2004 EDRN Outreach Meetings: 
 Breast/GYN Collaborative Group Meeting, New York, NY 
 GI Collaborative Group Meeting, Norfolk, VA 
 GU Collaborative Group Meeting, Houston, TX 
 Lung Collaborative Group Meeting, Denver, CO
January 2005 Gordon Conference on New Frontiers in Cancer Detection and Diagnosis, Santa Barbara, CA
March 2005 Tenth Steering Committee Meeting, Bethesda MD
September 2005 Eleventh Steering Committee Meeting, Seattle, WA 
August 2005 NIST-EDRN Workshop on Standards and Metrology for Cancer Diagnostics, Gaithersburg, MD
January 2006 EDRN Pancreatic Implementation Meeting, Denver, CO 
February 2006 EDRN Lung Implementation Team Meeting, Rockville, MD 
March 2006 Twelfth Steering Committee Meeting and 4th Annual Scientific Workshop, Philadelphia, PA
September 2006 Thirteenth Steering Committee Meeting, Pittsburgh, PA
October 2006 EDRN and Hepatitis B Foundation Workshop, Princeton, NJ
January 2007 Gordon Conference on New Frontiers in Cancer Detection and Diagnosis, Ventura, CA
February 2007 EDRN FDA Education Workshop Bethesda, MD
March 2007 Fourteenth Steering Committee Meeting, Denver, CO
April 2007 AACR Session on Novel Technologies and Validation Challenges, Los Angeles, CA
May 2007 NCI Division of Cancer Prevention Workshop on Cancer Stem Cells as Targets for Cancer Prevention 
and Early Detection, Bethesda, MD
* See previous reports for earlier milestones.
and early detection of cancer in primary 
organ systems, such as prostate, breast, lung, 
colorectal and upper aerodigestive tract. To 
accomplish this vision, the Network would:
• Develop and test promising biomarkers and 
technologies in institutions with outstanding 
scientific and clinical expertise;
• Evaluate promising biomarkers for 
diagnostic predictive accuracy, sensitivity, 
specificity and medical benefits;
• Develop molecular and expression markers 
to serve as background information for 
subsequent large definitive validation 
studies of detection and screening 
biomarkers;
• Coordinate academic and industrial leaders 
in molecular biology, molecular genetics, 
clinical oncology, computer science, public 
health and other disciplines to develop high-
throughput, sensitive assay methods;
• Conduct early phase clinical and 
epidemiological studies to evaluate the 
predictive value of biomarkers; and
• Encourage collaboration and rapid 
dissemination of information among 
participants to aid progress and avoid 
fragmentation of efforts.
A structure emerged (see Figure 1-1) 
with working components comprised of 
laboratories and validation centers and data 
management centers and two oversight 
components, a Steering Committee and a 
Network Consulting Team. The business 
model for this structure is discussed in 
Chapter 8.
Figure 1-1. Infrastructure of the Early Detection Research Network
 This schematic outlines the EDRN infrastructure for supporting translational research on 
molecular biomarkers for cancer detection and risk assessment.
Working Groups
Associate 
Members
Steering
Committee
Biomarker
Reference
Laboratories
Biomarker
Developmental
Laboratories
Clinical 
Epidemiology 
and Validation 
Centers
Informatics
Center
Data Management
And Coordinating
Center
Collaborative 
Groups
Breast and Gynecologic
Subcommittees/ 
Taskforces
Colorectal and Other
Gastrointestinal Cancers 
Lung and Upper 
Aerodigestive Tract
Prostate and Other 
Genitourinary
T
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a
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s
l
a
t
i
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a
l 
R
e
s
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a
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16 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
The Biomarker Developmental Laboratories 
(BDLs) were designed to develop and 
characterize new biomarkers, or refine 
existing biomarkers, by conducting active 
translational research in the biology of 
cancer formation. It was expected that 
discoveries would move from laboratory to 
clinical and population research settings and 
that observations from these settings would 
move back to the laboratory for further 
refinements as needed. 
The Biomarker Reference Laboratories 
(BRLs) were planned to serve as a resource 
for both laboratory and clinical validation 
of biomarkers, in the areas of technology 
development, standardized assays and 
methods, refinement and high-throughput 
operations. BRLs were also responsible for 
instituting quality control for reagents and 
technologies.
The Clinical Epidemiology and Validation 
Centers (CEVCs) were established to 
conduct and support early phases of clinical 
and epidemiological research on biomarker 
applications. Approved projects were soon 
started to look at a range of issues, including: 
resources and methods for rapid clinical 
evaluation of risk and disease biomarkers; 
defining molecular signatures predictive of 
neoplastic progression in cervical lesions; 
clinical utility of certain prostate cancer 
biomarkers; developing and maintaining a 
registry of individuals harboring germline 
mutations for hereditary cancer syndromes; 
and identifying preneoplastic lesions and 
early cancer in populations at risk due to 
environmental and occupational exposures.
To manage the flow of information across 
the network, the Data Management and 
Coordinating Center (DMCC) and an 
Informatics Center, managed by the Jet 
Propulsion Laboratory (JPL) at the National 
Aeronautics and Space Administration 
(NASA) were established. These entities were 
designed to support statistics, logistics and 
informatics and develop theoretical statistical 
approaches for pattern analysis of multiple 
biomarkers simultaneously. DMCC also 
coordinates network-wide meetings and 
conferences and serves as the Coordinating 
Center for validation studies. (See Margaret 
Sullivan Pepe, The Statistical Evaluation of 
Medical Tests for Classification and Prediction, 
Oxford Statistical Science Series Number 28, 
Oxford University Press, 2003.)
A Steering Committee, comprised of the 
Network’s Principal Investigators and 
NCI staff, was formed to coordinate the 
work of the consortium and provide major 
scientific and management oversight, such as 
developing and implementing protocols, study 
designs and general operations.
An ad hoc Network consulting team of 
non-EDRN investigators was instituted to 
recommend new research initiatives and to 
ensure Network responsiveness to promising 
research opportunities. Members of the group 
have reviewed EDRN as part of the external 
evaluation process.
Biomarker Reference Laboratories in 2008 
These laboratories serve as a Network resource for clinical and laboratory validation of biomarkers.
Principal Investigator Location
Dan Chan, Ph.D. Johns Hopkins Medical Institutions 
David Chia, Ph.D. University of California, Los Angeles 
Miral Dizdar, Ph.D. National Institute of Standards and Technology 
William E. Grizzle, M.D., Ph.D. University of Alabama at Birmingham 
Karin Rodland, Ph.D. Pacific Northwest National Laboratory 
Sanford Stass, M.D. University of Maryland School of Medicine 
Overview 17
18 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
Early Challenges
Establishing and sustaining collaborations 
while ensuring a smooth flow of discoveries 
from the laboratory to the clinic were clearly 
key challenges to the nascent Network. 
Efforts focused on developing methods for:
• novel approaches to validation studies 
during the early stages of investigation;
• improved informatics and information flow 
using new systems for data organization and 
sharing;
• standardized data reporting by creating a 
dictionary of neoplastic and pre-neoplastic 
events and common data elements (CDE) 
for biomarkers;
• statistical and computational tools; and
• standardized reagents and assays.
Biomarker Development Principles 
The Network developed systematic, 
comprehensive guidelines to develop, evaluate 
and validate biomarkers. This five-phase 
approach established both a scientific standard 
and a roadmap for successfully translating 
biomarker research from the laboratory to the 
clinic. 
Phase 1 – discovery, involves exploratory 
study to identify potentially useful 
biomarkers. 
Phase 2 – validation, occurs where biomarkers 
are studied to determine their 
capacity for distinguishing between 
people with cancer and those 
without. 
Phase 3 – determines the capacity of a 
biomarker to detect preclinical 
disease by testing the marker against 
tissues collected longitudinally from 
research cohorts. 
Phase 4 – includes prospective screening 
studies on biomarker performance 
in large populations and determines 
its false referral rate. 
Phase 5 – suggests the penultimate period 
in which large-scale population 
studies evaluate both the role of the 
biomarker for cancer detection and 
its overall screening impact. 
Although the Network’s focus is mainly 
on Phases 1 through 3, researchers have 
welcomed the five-phase structure because 
it provides an orderly succession of studies 
that build upon each other to yield an 
efficient and thorough approach to biomarker 
development. 
Project Prioritization
The Network implemented guiding principles 
for biomarker validation and used criteria 
developed by the Review Group to prioritize 
the first round of proposals for collaborative 
projects. These principles were:
1. Biologic rationale/strength of hypothesis
2. Strength of design
3. Technical parameters
4. Clinical or scientific impact
5. Portfolio balance
6. Practicality
7. Collaborative strength/team effort
Individual grantees brought to the Network a 
diverse assortment of potential biomarkers for 
development. Projects ranged from biomarkers 
for lung carcinoma and pre-malignancy to 
cancer risk prediction by mutational load 
distribution. Some investigators were seeking 
to detect pre-clinical cancer across a range 
of organ sites (prostate, liver, ovarian, breast, 
lung, colorectal) by protein signatures in 
body fluids using novel technologies such 
as mass spectrometry and laser capture 
microdissection. The BRLs set out to validate 
molecular cytogenetic and automated 
cytometry assays involving slide-based analysis 
of chromosomes as a first step to further 
standards setting.
Collaborative Groups and Associate 
Memberships
To broaden the opportunities for scientific 
interactions and coordinated research, 
Collaborative Groups were formed. These 
organ-specific research groups were structured 
to promote information exchange on organ-
related biomarkers and to identify research 
priorities within EDRN.
One major role of the Collaborative Groups 
was to serve as advisors/liaisons with Associate 
Members. The Associate Membership 
component was designed for investigators 
who are not affiliated with EDRN but wish to 
join the Network by proposing collaborative 
studies within its scope and objectives. 
Three categories for Associate Membership 
were established:
• Category A – domestic or foreign 
investigators who propose to conduct basic 
or translational research consistent with the 
priorities of EDRN;
• Category B – domestic or foreign 
members who contribute to the Network 
by sharing available technologies and 
supplying specimens, making available 
high-risk registries and cohorts and other 
complementary resources; 
• Category C – domestic or foreign 
corresponding members who are scientists, 
organizations, clinicians, patient advocates, 
or ethicists interested in participating in 
Collaborative Group meetings, workshops 
and conferences, without EDRN funding. 
Profile of the EDRN Associate 
Membership Program in 2008
 More than 151 applications received since 2000
 Approximately 40 applications approved
 More than 15 diagnostics firms joined as 
Category C members
 More than 45% of members are new 
investigators
 More than 60% of Category A members 
successfully competed for major grants
 Two Associate Members successfully proposed 
validation studies
2001 to 2003: Meeting the Scientific 
Challenges 
Following the principles of systems biology, 
in which disciplines like biology, chemistry, 
computational science and clinical sciences 
are integrated seamlessly, the Network made 
strides in meeting the scientific challenges 
of biomarker research. The first round 
of proposals for collaborative studies was 
approved and Steering Committee meetings 
convened to continue managing the formation 
of the new Network. (See EDRN Second 
Report, Translational Research to Identify 
Early Cancer and Cancer Risk, October 2002, 
 />Discovery Phase
EDRN began actively identifying potential 
biomarkers and making inroads for testing 
and evaluating usability in early detection 
and risk indication. Promising results were 
attained, such as:
• Lysophosphatidic acid (LPA) was found to 
be promising as a biomarker and further 
studies were performed at the discovery 
laboratories. LPA is elevated in the plasma of 
women with ovarian cancer including 90% 
of women with stage I disease.
• A ligand or binding protein for Galectin-
3 was pursued at the Great Lakes New 
England Clinical Epidemiology and 
Validation Center, which identified the 
binding protein in circulating blood. 
Galectin-3 is a protein related to tumor 
progression and was found to be a 
hepatoglobin-related protein, present in 
higher concentrations in patients with 
colon cancer when compared to those with 
precancerous polyps or normal subjects.
• A positive finding that androgen receptor-
length polymorphism is associated with 
prostate cancer risk in Hispanic men was 
made.
• A progression model for bladder cancer was 
developed.
• The result of an extensive search of gene 
and protein expression data generated 
through two-dimensional gel profiles, mass 
spectrometry, quantitative protein data and 
gene expression data, found two proteins,   
Overview 19
20 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
Annexin-1 and Annexin-2, to be candidate 
biomarkers for lung cancer (Proc Natl Acad 
Sci USA. 2001 98:9824-9). Further validation 
studies are ongoing.
• Discussions concerning the informatics 
needs of EDRN were conducted and plans 
for building the infrastructure began. 
Prototypes of the EDRN Network Exchange 
system (ERNE), EDRN Task Management 
Software, EDRN Statistical Software and the 
EDRN secure site were produced and tested. 
Guidelines Set for Measuring Biomarker 
Predictive Power
To prepare for the next level of investigation, 
the Network developed guidelines for 
statistical design and analysis of nested case-
control studies on serially collected blood 
or tissue specimens. These guidelines, listed 
below, are used by researchers designing 
studies to measure the predictive power of a 
biomarker:
• For clearest interpretation, statistics should 
be based on false- and true-positive rates, 
not odds ratios or relative risk.
• To avoid over-diagnosis bias, cases should 
be diagnosed as a result of symptoms rather 
than on screening.
• To minimize selection bias, the spectrum of 
control conditions should be the same in the 
study and target screening populations.
• To extract additional information, criteria 
for a positive test should be based on a 
combination of individual markers and 
changes in marker levels over time. 
• To avoid over-fitting the data, the criteria for 
a positive marker combination developed in 
a training sample should be evaluated against 
random samples from the same study and, 
if possible, validation samples from another 
study.
Critical Challenges Faced
The interdisciplinary teams of investigators 
tackled the critical challenges identified at 
the beginning: novel approaches to validation 
studies; advanced informatics and information 
flow; standardization of reagents and assays 
and data reporting; and creation of standard 
statistical and computational tools (see Part II). 
New approaches to validation studies were set 
in motion with preliminary studies in:
• detecting promoter methylation as a risk 
marker; 
• chromosomal breakage as a marker of lung 
cancer susceptibility and early lung cancer 
detection using Fluorescence in Situ 
Hybridization (FISH); 
• mutations in mitochondrial DNA and 
telomerase activity as early detection 
markers; and 
• microsatellite instability as an early 
detection marker for bladder cancer. 
“T
he EDRN’s goals are ambitious and admirably attempt to perform and 
deliver from both ends of the linear biomedical industries world: to discover 
new early disease biomarkers and deliver them to the public for use. As if this 
was not enough, this is to be done across a range of different cancers.” 
 Tim Block, Ph.D. 
 Principal Investigator 
 EDRN Biomarker Development Laboratory 
 Drexel University College of Medicine
EDRN Liaisons to Professional 
and Scientific Organizations
American Association for Cancer Research 
(AACR): William Bigbee, Ph.D.
American College of Obstetricians and 
Gynecologists (ACOG): Daniel Cramer, M.D.
American Society for Investigative Pathology 
(ASIP): Elizabeth Unger, M.D., Ph.D.
American Society of Clinical Oncology (ASCO): 
Dean Brenner, M.D.
American Society of Preventive Oncology (ASPO): 
Dean Brenner, M.D.
American Urological Association (AUA): 
Alan Partin, M.D., Ph.D.
Cooperative Family Registries: John Baron, M.D.
Human Proteome Organization (HUPO): 
Samir Hanash, M.D., Ph.D.
European Organization for Research and 
Treatment of Cancer (EORTC): Angelo Paradiso, 
M.D., Maria Diadone, Ph.D.
Mouse Models of Human Cancers Consortium: 
Jeffrey Marks, Ph.D.
Pharmaceutical and industrial relations: 
Wendy Patterson, Esq.
Specialized Programs of Research Excellence 
(SPORE) Groups: Adi Gazdar, M.D.
Cooperative Groups: Ian Thompson, M.D.
Union Internationale Contre le Cancer 
(International Union Against Cancer): 
Michles Bodos, M.D.
2003 to 2004: Network Surges Ahead
NCI supported more than 100 collaborative 
projects that spanned the organ sites. BDLs 
investigated biomarker candidates for major 
organ sites while the first clinical validation 
study, microsatellite instability as a biomarker 
for bladder cancer, commenced in September 
2003. EDRN’s portfolio expanded, its 
collection of sample sets and reference data 
sets grew markedly and standard tools and 
resources were widely utilized. (See EDRN’s 
Infrastructures were built to improve 
informatics and information flow across the 
Network. A public web site and a secure 
web site contained general and specific 
information about upcoming events, contacts 
for institutions and committees, data from 
collaborative studies and approved validation 
proposals.
Standardization of data reporting came closer 
to reality with the development of CDEs 
required for use at Network sites. In addition, 
a distribution and computing network, known 
as the EDRN ERNE, which allows remote 
access to live databases at each Network site 
via the secured website, was developed by 
JPL and the DMCC. ERNE unifies search 
and retrieval of biospecimen data from all 
institutions regardless of their location, how 
data are stored, or the differences in the 
underlying data models. 
Exceptional analytical approaches and 
methods were developed to generate effective 
statistical methodologies and computational 
tools. These incorporated pre-analysis data 
processing; disease classification; protein 
biomarker identification; artificial intelligence 
learning algorithms; genomic and proteomic 
data mining; and systems screening.
In collaboration with EDRN’s federal 
partner, NIST, NCI-supported investigators 
continued during this period to standardize 
methodologies, refine assays and establish 
standard reference materials for biochemical, 
molecular and cytologic assays.
EDRN forged partnerships with the private 
sector (see Part III). The Network initiated 
collaborative projects with other NCI-
supported programs to leverage shared 
technology and resources; investigators 
published abstracts of their work; and liaisons 
to numerous professional organizations were 
established.
Overview 21
22 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
Third Report, Translational Research to Identify 
Early Cancer and Cancer Risk, March 2005, 
 />To make resources available for validation 
research, a number of technologies were 
approved and clinical specimens collected and 
pronounced “open access” for collaborative 
efforts. In addition, the Network surged 
ahead in its partnerships with federal 
agencies through joint projects. Also, a series 
of workshops, meetings, conferences and 
collaborative group “town hall” gatherings 
were held to further cement alliances and 
share information. 
Another unique partnership emerged with 
the Plasma Proteome Project Initiative of the 
Human Proteome Organization (HUPO), 
to evaluate multiple technology platforms, 
develop bioinformatic tools and standards for 
protein identification and create a database 
of the plasma proteome (Proteomics August 
2005).
The Network-developed study design for a 
systematic evaluation of protein profiling, 
in this case using SELDI-TOF for cancer 
diagnosis, was published and became a model 
that can be applied to any other profile-
based proteomics platforms. Accordingly, the 
model was extensively discussed and accepted 
throughout the research community (Disease 
Markers 2005). 
The ERNE knowledge system was deployed 
to 10 institutions in early 2003, providing a 
common web-based client interface. Creation 
of a robust framework called the Validation 
Study Information Management System 
(VSIMS) was created to allow multiple studies 
to be administered efficiently by minimizing 
development time with standardization of 
information and data management across 
multiple activities and research sites. 
2005 to 2007: An Investment 
in Prevention
The NCI’s Translational Research Working 
Group (TRWG) was established in 2005 
to evaluate the status of NCI’s investments 
in translational research and chart a vision 
for the future. TRWG defined translational 
research as “research that transforms 
scientific discoveries arising in the lab, clinic 
or population into new clinical tools and 
applications that reduce cancer incidence, 
morbidity and mortality” (see Figure 1-2). 
Figure 1-2. Translational Research Paradigm as defined by NCI’s Translational Research Working Group
Source: Translational Research Working Group Interim Report to the National Cancer Advisory Board, Envisioning the Future of NCI’s Investment in Translational 
Research, June 14, 2006 ( />Lab
Clinic Population
New Tools & 
New Applications
Biomarker Development Laboratories in 2008 
These laboratories are responsible for development and characterization of new, 
or refinement of existing, biomarkers.
Principal Investigator Location
William L. Bigbee, Ph.D University of Pittsburgh Cancer Institute 
Timothy Block, Ph.D. Drexel University College of Medicine 
Paul Cairns, Ph.D. Fox Chase Cancer Center 
Arul M. Chinnaiyan, M.D., Ph.D. University of Michigan 
Bogdan Czerniak, M.D., Ph.D. University of Texas M. D. Anderson Cancer Center 
Laura J. Esserman, M.D., M.B.A. University of California, San Francisco 
Wilbur Alan Franklin, M.D. University of Colorado Health Science Center 
Adi Gazdar, M.D. University of Texas Southwestern Medical Center 
Samir Hanash, M.D., Ph.D. Fred Hutchinson Cancer Research Center 
Michael Hollingsworth, Ph.D. University of Nebraska Medical Center 
Ann M. Killary, Ph.D. University of Texas M. D. Anderson Cancer Center 
Joshua LaBaer, M.D., Ph.D. Harvard Institute of Proteomics 
Alvin Y. Liu, Ph.D. University of Washington 
Zvi Livneh, Ph.D. Weizmann Institute of Science 
Anna Lokshin, Ph.D. University of Pittsburgh Cancer Instititute 
Jeffrey Marks, Ph.D. Duke University Medical Center 
Martin McIntosh, Ph.D. Fred Hutchinson Cancer Research Center 
Stephen Meltzer, M.D. Johns Hopkins University 
Harvey Ira Pass, M.D. New York University School of Medicine 
Hemant K. Roy, M.D. Evaston Northwestern Healthcare Research Institute 
O. John Semmes, Ph.D. Eastern Virginia Medical School 
David Sidransky, M.D. Johns Hopkins University 
Michael A. Tainsky, Ph.D. Karmanos Cancer Institute 
Richard C. Zangar, Ph.D. Pacific Northwest National Laboratory 
Overview 23
Informatics Center in 2008 
The Informatics Center supports EDRN’s efforts through software systems development for information 
management and flow.
Principal Investigator Location
Daniel Crichton, M.S. NASA Jet Propulsion Laboratory at the California 
Institute of Technology 
24 T H E E A R LY DETECTION RESEARCH NETWORK: Investing in Translational Research on Biomarkers of Early Cancer and Cancer Risk
Clinical Epidemiology and Validation Centers in 2008 
The Centers conduct clinical and epidemiological research on the medical application of biomarkers. 
Principal Investigator Location
Steven Belinsky, Ph.D. Lovelace Respiratory Research Institute 
Dean Brenner, M.D. University of Michigan 
Daniel Cramer, M.D., Sc.D. Brigham and Women’s Hospital 
Paul Engstrom, M.D. Fox Chase Cancer Center 
Henry Lynch, M.D. Creighton University 
Alan W. Partin, M.D., Ph.D. Johns Hopkins University Department of Urology 
William Rom, M.D., M.P.H. New York University School of Medicine 
Martin Sanda, M.D. Beth Israel Deaconess Medical Center 
Ian M. Thompson, M.D. University of Texas at San Antonio 
Elizabeth R. Unger, M.D., Ph.D. Centers for Disease Control and Prevention
Data Management and Coordinating Center in 2008 
The Center is responsible for coordinating EDRN activities by developing a common database for the Net-
work, providing logistic support, conducting statistical and computational research and guiding statistical 
design and data analyses of validation studies. 
Principal Investigator Location
Ziding Feng, Ph.D. Fred Hutchinson Cancer Research Center 
Program for Rapid, Independent Diagnostic Evaluation (PRIDE):
which was designed to assist translation to the clinic of novel anticancer therapeutic interventions, 
either synthetic, natural product, or biologic, arising in the academic community.
the device pathway developed by TRWG.
Overview 25
The EDRN has achieved several milestones. 
The operations manual was proven viable. 
Guidelines laying out the criteria and 
sequential study designs for justification 
of requested resources were provided 
to investigators. The fully characterized 
Network provides an unparalleled system of 
strong scientific collaborations that facilitate 
high-quality translational research. The 
infrastructure works to ensure that good 
biomarkers are promoted without regard 
to pecuniary interests. The Network’s 
emphasis on inclusiveness allows any scientist, 
from academia, industry or government to 
participate in EDRN activities, thus ensuring 
the best chance for promising markers to 
become future medical tools.
The Associate Membership Program, 
along with a newly established Program for 
Rapid, Independent Diagnostic Evaluation 
(PRIDE), continues to ensure inclusiveness 
of stakeholders, biomarkers, technologies 
and processes all along the EDRN business 
model. In late 2006, EDRN announced the 
PRIDE ( />notice-files/NOT-CA-07-003.html), as an 
administrative means to assist extramural 
investigators to successfully conduct 
cross-laboratory validation of biomarkers. 
Investigators from the diagnostic community 
were invited to partner with EDRN to 
develop new standards for methodologies, 
assays, reagents and tools. This initiative 
is expected to expand the capacity of 
existing resources and speed development 
of diagnostic markers. PRIDE will fill a gap 
between discovery and clinical application by 
providing independent evaluation of potential 
biomarkers developed through various 
technology platforms and the assays and 
reagents needed to accelerate them to 
clinical use.